Title :
Reconstruction of compressed sensed ECG signals using patient specific dictionaries
Author :
Fira, Monica ; Goras, Liviu ; Barabasa, Constantin
Author_Institution :
Inst. of Comput. Sci., Iaşi, Romania
Abstract :
In this paper we investigate the reconstruction of compressed sensed ECG signals using dictionaries specific for each patient. Two projection matrices, random and Bernoulli, have been tested. For 24 records from the MIH-BIH database and for a compression ratio (CR) of 10:1 an average percentage root-mean-square difference (PRD) of 0.81, a normalized PRD (PRDN) of 15.49 and a quality score (QS) of 12.34 have been obtained. For record 117, for CR = 15:1 the PRD, PRDN and QS were 0.96, 17.28 and 15.62 respectively.
Keywords :
compressed sensing; electrocardiography; medical signal processing; random processes; signal reconstruction; Bernoulli projection matrices; MIH-BIH database; average percentage root-mean-square difference; compressed sensed ECG signal reconstruction; compression ratio; normalized PRD; patient specific dictionaries; quality score; random projection matrices; Compressed sensing; Databases; Dictionaries; Electrocardiography; Gaussian distribution; Noise; Vectors;
Conference_Titel :
Signals, Circuits and Systems (ISSCS), 2013 International Symposium on
Conference_Location :
Iasi
Print_ISBN :
978-1-4799-3193-4
DOI :
10.1109/ISSCS.2013.6651246
